Standardizing Proteomics Data Analysis & Selecting Appropriate Analysis Frameworks to Ensure Reproducibility & Statistical Accuracy
- Creating robust and reproducible data analysis methodologies to facilitate precise biomedical conclusions
- Developing consistent statistical and data normalization strategies to mitigate for missing data and variability across proteomics platforms
- Harmonizing assay design and sample prep to ensure compatibility with downstream analysis methods across in vitro, in vivo, and clinical models